Smart Critical Patient Care System with Doctor and Bystander Support with Wireless Sensor Network Using IoT and Intelligent Recommender Algorithm

Wireless sensors and body area network are playing an important role in medical and healthcare field in this technological era. Communication between the doctor, the hospital and the bystander of the patient who is critically ill and whose health condition is unpredictable should be accurate, timely and precise. For a doctor, a complete physical monitoring of the critical patient by being with them is very difficult during his or her busy schedule. Even timely update to the bystander of the patient is equally important. PBDM application is based on a novel idea where the patient bystander and the doctor have been given equal priority in communication to each other. PBDM application uses state-of-the-art technology to implement the concept. Currently, no hospitals in India are using this technology to communicate between critical patient and the hospital. This paper proposes an ideal solution for the communication between the doctor, patient and bystander through IoT application, which is the first ever idea among IoT-based patient care solutions. The bystander updates become very important because he or she will be updated for a support like buying a medicine from the medical store, meeting the doctor quickly for a decision making, inform in the hospital about the patients previous medical history like that can be done online and live and remotely even when the bystander is away from the patients ICU for some other emergency. Also the hospital authorities need not worry about the presence of a bystander when they use PBDM application support. Here, a smart recommender system enabled with wireless body area network sensors, which communicates effectively with the doctor with dynamic patient data in 24/7 and updates the bystander with the patient status with the help of a smart prediction algorithm, is proposed. Live clinical results showed that the proposed system works effectively with the timely communication with the doctor and plays an important role in saving a sinking patient.